Google livre téléchargé Applied Biclustering Methods for Big and High Dimensional Data Using R 9781482208238 Adetayo Kasim

Applied Biclustering Methods for Big and High Dimensional Data Using R

Applied Biclustering Methods for Big and High Dimensional Data Using R

by Adetayo Kasim

Editeur : Taylor & Francis
ISBN: 9781482208238
Broché: 455
Télécharger les formats: pdf, ePub, mobi, fb2
Taille du fichier: 12 Mb
Date d'affichage: 2020-09-30
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La description:

Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimensional data and big data structure. The book covers this increasingly important methodology and illustrates its versatility beyond the analysis of gene expression. The book also provides easy-to-follow illustrations of how biclustering can be implemented in practice using the R-based user-friendly graphical interface BiclustGUI.